Investigating the relationship between eye movements and situation awareness in weather forecasting
Investigating the relationship between eye movements and situation awareness in weather forecasting
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DOI：
10.1016/j.apergo.2020.103071
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发表时间：
2020-05-01
影响因子：
3.2
通讯作者：
Shehab, Randa L.
中科院分区：
文献类型：
--
作者：
Argyle, Elizabeth M.;Gourley, Jonathan J.;Shehab, Randa L.
生理指标，包括眼动跟踪测量，可以提供洞察人类决策和认知在许多领域，包括天气预报。态势感知（SA）是预测决策的重要组成部分，通常被概念化为信息被感知、理解和投射到未来环境中的程度。利用最近的应用程序的眼动跟踪在预测决策的研究，我们调查的眼动措施，自动化，SA评估通过冻结探针评估方法之间的关系。此外，我们探讨了自动化预测决策辅助工具的使用和信息寻求behavior.In这项研究中，一个样本的专业天气预报员完成了一系列的任务，由一组预测决策辅助工具，并与变量访问实验自动化工具，而眼球跟踪系统捕获的眼动和信息使用相关的数据。在每一项预测任务结束时，参与者在一种基于调查的评估技术的框架内回答了一系列与环境状况有关的问题，以评估他们对状况的认识水平。回归分析显示，SA措施和眼动跟踪指标之间的中度关系，支持的假设，眼动跟踪可能有效用，在评估SA。结果支持使用眼动跟踪在评估的具体和可测量的属性的决策过程中的天气预报。研究结果进行了讨论的潜在好处，眼动跟踪可以带来人类的性能评估，以及在预测领域的决策研究。
Physiological indicators, including eye tracking measures, may provide insight into human decision making and cognition in many domains, including weather forecasting. Situation awareness (SA), a critical component of forecast decision making, is commonly conceptualized as the degree to which information is perceived, understood, and projected into a future context. Drawing upon recent applications of eye tracking in the study of forecaster decision making, we investigate the relationship among eye movement measures, automation, and SA assessed through a freeze probe assessment method. In addition, we explore the relationship between an automated forecasting decision aid use and information seeking behavior.In this study, a sample of professional weather forecasters completed a series of tasks, informed by a set of forecasting decision aids, and with variable access to an experimental automated tool, while an eye tracking system captured data related to eye movements and information usage. At the end of each forecasting task, participants responded to a set of questions related to the environmental situation in the framework of a survey-based assessment technique in order to assess their level of situation awareness. Regression analysis revealed a moderate relationship between the SA measure and eye tracking metrics, supporting the hypothesis that eye tracking may have utility in assessing SA. The results support the use of eye tracking in the assessment of specific and measurable attributes of the decision-making process in weather forecasting. The findings are discussed in light of potential benefits that eye tracking could bring to human performance assessment as well as decision-making research in the forecasting domain.